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@lobre
lobre / README.md
Last active September 20, 2026 20:44
Understanding Kakoune’s Command Language: Parsing, Evaluations, and Beyond

Understanding Kakoune’s Command Language: Parsing, Evaluations, and Beyond

Kakoune is a modal editor. That means when you’re editing text, you’re constantly interacting with the editor using a powerful language of keystrokes — moving around, selecting text, transforming content, all through short, expressive commands typed directly in the editing interface. This is the core editing experience, and it’s what gives Kakoune its speed and fluidity.

But this isn’t the only way to interact with Kakoune.

There’s another side to Kakoune — a more structural, programmable one — which lets you interact with the editor through commands. These commands can be used to configure Kakoune, automate behavior, and define complex workflows. Commands can be written in configuration files, invoked via custom keybindings, or typed directly into the command prompt.

This document focuses on that second side: the command interface. We will explore how commands work, how they are built, and how Kakoune interprets them

@theMackabu
theMackabu / da.ts
Created September 12, 2026 08:42
ew
import type { ptr } from './stdlib.h';
import { mem, brk } from './memory.h';
import { $, malloc, free, memcpy, typedef } from './stdlib.h';
const da_t = typedef([
{ name: 'items', type: 'ptr' },
{ name: 'count', type: 'int' },
{ name: 'capacity', type: 'int' }
]);
@Klerith
Klerith / ClaudeCode-Local-Models.md
Last active September 20, 2026 20:43
ClaudeCode con modelos locales
@drillan
drillan / jev-finance-projects.md
Created September 20, 2026 02:27
Jev (TypeSafe System One) finance & trading projects — surveyed 2026-09-20

Jev (TypeSafe System One) — Finance & Trading Projects

Projects using Jev, TypeSafe AI's System One decision model (released 2026-09-15), in investment, trading, and financial-data contexts. Surveyed 2026-09-20 via GitHub API and community awesome-lists.

Reference project

  • jarrodwatts/jev-trader (★1.3k, 2026-09-16) — One AI trade decision every Monad block (~300 ms). Jev reads the Kuru MON-USDC order book and answers buy or sell; the bot posts a post-only limit order one tick inside the touch, earning the spread. Bun/TypeScript, dry-run mode, SSE dashboard. The template most projects below derive from.

Live trading / trading systems

@Klerith
Klerith / instalaciones-opencode.md
Last active September 20, 2026 20:37
Instalaciones para el curso de OpenCode
opencode wordmark

OpenCode: Guía completa para desarrolladores de software

// ==UserScript==
// @name Disable keyboard shortcuts
// @description Stop websites from highjacking keyboard shortcuts
//
// @run-at document-start
// @include https://github.com/*
// @grant none
// ==/UserScript==
keycodes = [84] // Keycode for 'T', add more keycodes to disable other key captures
@DvilMuck
DvilMuck / aternosAntiAntiadblock.user.js
Last active September 20, 2026 20:32
Aternos Anti Anti Adblock userscript for Aternos.org
// ==UserScript==
// @name Aternos Anti Anti-adblock
// @namespace r0630hh1edcuum5397kimyc0ucwy2h3psn4c6r1u4j
// @version 0.2.5
// @description Fuck anti-adblock from the free hosting minecraft servers Aternos.org. Parry this you filthy casual!
// @author Angry Developer against excessive ADs
// @source https://gist.github.com/DvilMuck/f2b14f3f65e8f22974d781277158f82a
// @supportURL https://gist.github.com/DvilMuck/f2b14f3f65e8f22974d781277158f82a
// @updateURL https://gist.github.com/DvilMuck/f2b14f3f65e8f22974d781277158f82a/raw/aternosAntiAntiadblock.user.js
// @downloadURL https://gist.github.com/DvilMuck/f2b14f3f65e8f22974d781277158f82a/raw/aternosAntiAntiadblock.user.js
@Obydux
Obydux / Fabric-Server-Optimization.md
Last active September 20, 2026 20:31
Fabric Server Optimization

Fabric Server Optimization

This has been updated for 26.1 - 26.2, all of the optimization mods mentioned here are compatible with each other and don't affect vanilla behaviour by default.

Mods

@JoaquinRuiz
JoaquinRuiz / prompt-profesor-particular-programacion.md
Created September 20, 2026 14:55
Prompt para que la IA te enseñe a programar en vez de hacerte los deberes

Actúa como mi profesor particular de programación mientras estudio el ciclo de Desarrollo de Aplicaciones Web. Tu objetivo NO es resolver mis ejercicios: es que yo aprenda a resolverlos y que entienda cómo funcionas tú.

REGLAS SOBRE EL CÓDIGO

  1. No me des nunca la solución completa a la primera, ni aunque te la pida en el primer mensaje.
  2. Antes de responder, hazme una o dos preguntas para saber qué he intentado ya y dónde creo que está el problema.
  3. Ayúdame por niveles y espera mi respuesta entre uno y otro:
    • Nivel 1: una pista conceptual, sin código.
    • Nivel 2: señálame la línea o la zona donde está el fallo y pregúntame qué crees que pasa ahí.
  • Nivel 3: un ejemplo parecido pero con otro caso, nunca con mi ejercicio.

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.